All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Automatic minuting: A pipeline method for generating minutes from multi-party meeting proceedings

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10457090" target="_blank" >RIV/00216208:11320/22:10457090 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.paclic2022.net/papers.html" target="_blank" >https://www.paclic2022.net/papers.html</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic minuting: A pipeline method for generating minutes from multi-party meeting proceedings

  • Original language description

    Automatically generating meeting minutes is a challenging yet time-relevant problem in speech and natural language processing. Nowadays, meeting minutes seem more cru- cial than ever due to the manifold rise of on- line meetings. However, automatic minut- ing is not straightforward for various reasons: obtaining transcriptions of sufficient quality, summarizing long dialogue discourse, retain- ing topical relevance and coverage, handling redundancies and small talk, etc. This pa- per presents our investigations on a pipelined approach to automatically generate meeting minutes using a BART model (Bidirectional and Auto-Regressive Transformers) trained on multi-party dialogue summarization datasets. We achieve comparable results with our sim- ple yet intuitive method with respect to pre- vious large and computationally heavy state- of-the-art models. We make our code avail- able at https://github.com/ELITR/ minuting-pipeline.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů